IT Researches offers Programming and Software Development Services related to Digital Image Processing, Image Analysis, Image Recognition, Image Enhancement and Computer Vision.We specialize in developing software for organizations that incorporate our work into their product offerings, marketed under their own company or brand name.

We offer variety of software solutions for image processing. We have expert experience in visual inspection, recognition, monitoring, and more as we keep challenging. We can develop wide range of software from image and equipment control tools to GUI.

Our skills of image processing is applicable to any industry use, such as medical, electron microscope, factory machinery, etc.

Examples of our expertise:

Extraction of Measurements and Meaningful information from digital images.

Tools for identifying and analyzing bacterial colonies in a Petri dish.

Automated system for scanning a sample from a microscope slide to recognize and identify cellular debris.

Object Recognition - Find objects in digital images or 3D scene.

Image Recognition and Tracking based on 3D TOF Range Camera.

Software components used for the Measurements and Analysis of the inter-vertebral motion of the spine.

DNA Micro Array Image Analysis.

Archival and Diagnostic Review Software for a Dental X-ray application.

Solar panels feasibility tool that calculates the sunlight on a rooftop based on obstacles observed in pictures taken with a fisheye lens and sun-path-chart.

Enhancements and Annotation of images -- Add new quality to existing images.

Tools that lets the user modify or annotate the images.

Image Archival and Retrieval system.

Electronic Signatures & Records to comply with 21 CFR Part 11.

Image archival and retrieval system to review and analyze defects in semiconductor production to improve yields.

Make specialized design and engineering tasks fast and easy

Specialized software for the design tasksyour work demands

Deliver specialty designs faster with custom CAD applications

The more specialized your design task, the less likely it is that an off-the-shelf CAD program will meet your needs. We capture the deep expertise of your specialty to create custom CAD applications that make it easier for you to deliver higher quality results in less time.

Working together closely, we capture the knowledge required to fulfill your tasks. We apply our expertise in advanced mathematics, algorithms and user-experience design to create powerful software that’s easy to use as well.

Interpret video and image content based on learning from sample data

Machine Learning is a branch of artificial intelligence that builds systems which can learn from data. These systems can adapt to real-world usage and perform better than classic systems in many situations.

Recent advances in Machine Learning technology allows us to extract features embedded in images or videos and use them as input parameters for machine learning algorithms. These algorithms learn from the input parameters and make assessments, classifications, identifications, decisions or predictions.

During this learning process, a human trainer tags areas within multiple images and labels them according to his or her needs and goals.

Based on mathematical and statistical analysis, the software creates a learning database it can use later to label objects in a new set of images. This labeling, also known as recognition reflects the statistical likelihood that a given visual element has matched a label in the learning database.

This learning process is useful for cases where the appearance of the features is not an exact match to a reference image even after the images have been processed and normalized.

On the other hand, recognition of exact matches after normalization does not require Machine Learning.

Machine Learning can identify objects in one specific image or recognize actions based on changes in the object's state over time.

The combination of learning algorithms, and features to be extracted, and the dataset used for learning is important to achieve the desired results because each type of classification can require its own features to be extracted and its own images for training.

For example, a system can learn to identify dogs and differentiate them from cats. Or, classify dogs by breed such as Chihuahua, Bulldog or Poodle. Or classify dogs and cats as four-legged animals. Or identify an individual dog.

We create practical ComputerVision applications using the latest research and breakthroughs in Machine Learning.